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Vector Autoregression Model Application on Forecasting China Energy Demand Up To Year 2020

机译:向量自回归模型在预测2020年中国能源需求中的应用

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With the fast economic development, energy demand is increasing year after year. In the future, how to forecast the energy demand scientifically has the important meaning to the assurance of economic sustainable development and the setting up of well-off and harmonious society. The VAR model sets up the model based on the data statistic character and as each endogenous variable is the function of lag value of all endogenous variables. It is one of the models that are easily handled to the analysis and forecast dealing with several correlate economic indexes. It is used to forecast the correlate time series system. The energy demand is composed by the wastage of oil, coal and natural gas, they have the near relation. So, this text applies the VAR model to forecast the wastage of oil, coal, natural gas and total energy demand in the future, it can provide the instruction for the energy development stratagem.
机译:随着经济的快速发展,能源需求量逐年增加。未来,如何科学地预测能源需求,对保证经济可持续发展和建立小康社会具有重要意义。 VAR模型基于数据统计特性来建立模型,因为每个内生变量都是所有内生变量的滞后值的函数。它是易于处理和处理多个相关经济指标的模型之一。它用于预测相关时间序列系统。能源需求由石油,煤炭和天然气的浪费组成,它们之间有着密切的关系。因此,本文运用VAR模型对未来石油,煤炭,天然气的浪费和总能源需求进行预测,可以为能源发展战略提供指导。

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